Overview

Dataset statistics

Number of variables20
Number of observations2000
Missing cells0
Missing cells (%)0.0%
Duplicate rows6
Duplicate rows (%)0.3%
Total size in memory312.6 KiB
Average record size in memory160.1 B

Variable types

NUM20

Warnings

Dataset has 6 (0.3%) duplicate rows Duplicates
att202 has 41 (2.1%) zeros Zeros
att177 has 24 (1.2%) zeros Zeros
target has 200 (10.0%) zeros Zeros

Reproduction

Analysis started2020-10-08 14:58:00.324763
Analysis finished2020-10-08 14:59:20.915680
Duration1 minute and 20.59 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

att202
Real number (ℝ≥0)

ZEROS

Distinct25
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.115
Minimum0
Maximum25
Zeros41
Zeros (%)2.1%
Memory size15.8 KiB
2020-10-08T14:59:20.992159image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median10
Q313
95-th percentile18
Maximum25
Range25
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.113398911
Coefficient of variation (CV)0.5055263382
Kurtosis-0.5144771984
Mean10.115
Median Absolute Deviation (MAD)3
Skewness-0.08475487861
Sum20230
Variance26.14684842
MonotocityNot monotonic
2020-10-08T14:59:21.185119image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
101879.3%
 
91819.0%
 
111698.5%
 
121567.8%
 
81497.4%
 
131366.8%
 
17954.8%
 
14924.6%
 
16914.5%
 
1894.5%
 
2884.4%
 
7844.2%
 
3834.2%
 
15773.9%
 
18582.9%
 
4572.9%
 
6472.4%
 
0412.1%
 
5371.8%
 
19331.7%
 
20180.9%
 
21150.8%
 
22100.5%
 
2360.3%
 
2510.1%
 
ValueCountFrequency (%) 
0412.1%
 
1894.5%
 
2884.4%
 
3834.2%
 
4572.9%
 
5371.8%
 
6472.4%
 
7844.2%
 
81497.4%
 
91819.0%
 
ValueCountFrequency (%) 
2510.1%
 
2360.3%
 
22100.5%
 
21150.8%
 
20180.9%
 
19331.7%
 
18582.9%
 
17954.8%
 
16914.5%
 
15773.9%
 

att214
Real number (ℝ≥0)

Distinct15
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.968
Minimum4
Maximum18
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T14:59:21.372459image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8
Q110
median12
Q314
95-th percentile16
Maximum18
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.579787521
Coefficient of variation (CV)0.2155571124
Kurtosis-0.7458463478
Mean11.968
Median Absolute Deviation (MAD)2
Skewness0.07528338193
Sum23936
Variance6.655303652
MonotocityNot monotonic
2020-10-08T14:59:21.531474image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
1029414.7%
 
1126613.3%
 
1224812.4%
 
1322611.3%
 
920810.4%
 
141979.8%
 
151939.7%
 
161547.7%
 
8964.8%
 
7502.5%
 
17492.5%
 
1890.4%
 
660.3%
 
520.1%
 
420.1%
 
ValueCountFrequency (%) 
420.1%
 
520.1%
 
660.3%
 
7502.5%
 
8964.8%
 
920810.4%
 
1029414.7%
 
1126613.3%
 
1224812.4%
 
1322611.3%
 
ValueCountFrequency (%) 
1890.4%
 
17492.5%
 
161547.7%
 
151939.7%
 
141979.8%
 
1322611.3%
 
1224812.4%
 
1126613.3%
 
1029414.7%
 
920810.4%
 

att139
Real number (ℝ≥0)

Distinct37
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.027
Minimum0
Maximum36
Zeros1
Zeros (%)< 0.1%
Memory size15.8 KiB
2020-10-08T14:59:21.734731image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q112
median17
Q325
95-th percentile30
Maximum36
Range36
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.616973161
Coefficient of variation (CV)0.4225313786
Kurtosis-0.8727567937
Mean18.027
Median Absolute Deviation (MAD)6
Skewness0.2025895008
Sum36054
Variance58.01828014
MonotocityNot monotonic
2020-10-08T14:59:21.934460image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%) 
111397.0%
 
121055.2%
 
131035.1%
 
101035.1%
 
151005.0%
 
27984.9%
 
17894.5%
 
14864.3%
 
18824.1%
 
9783.9%
 
16783.9%
 
26783.9%
 
19763.8%
 
28753.8%
 
24693.5%
 
22633.1%
 
20633.1%
 
29633.1%
 
25623.1%
 
23532.6%
 
21512.5%
 
8361.8%
 
7331.7%
 
30321.6%
 
31291.5%
 
Other values (12)1567.8%
 
ValueCountFrequency (%) 
010.1%
 
130.1%
 
2110.5%
 
3120.6%
 
4130.7%
 
5231.1%
 
6241.2%
 
7331.7%
 
8361.8%
 
9783.9%
 
ValueCountFrequency (%) 
3660.3%
 
35140.7%
 
34100.5%
 
33221.1%
 
32170.9%
 
31291.5%
 
30321.6%
 
29633.1%
 
28753.8%
 
27984.9%
 

att178
Real number (ℝ≥0)

Distinct18
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.277
Minimum0
Maximum17
Zeros3
Zeros (%)0.1%
Memory size15.8 KiB
2020-10-08T14:59:22.133785image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q17
median9
Q311
95-th percentile14
Maximum17
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.009451678
Coefficient of variation (CV)0.3243992322
Kurtosis-0.09832404278
Mean9.277
Median Absolute Deviation (MAD)2
Skewness-0.2231365856
Sum18554
Variance9.0567994
MonotocityNot monotonic
2020-10-08T14:59:22.298520image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%) 
928814.4%
 
1026213.1%
 
823411.7%
 
1121710.8%
 
71929.6%
 
121869.3%
 
131296.5%
 
61105.5%
 
14954.8%
 
5894.5%
 
4613.0%
 
15412.1%
 
3341.7%
 
2251.2%
 
16180.9%
 
1110.5%
 
1750.2%
 
030.1%
 
ValueCountFrequency (%) 
030.1%
 
1110.5%
 
2251.2%
 
3341.7%
 
4613.0%
 
5894.5%
 
61105.5%
 
71929.6%
 
823411.7%
 
928814.4%
 
ValueCountFrequency (%) 
1750.2%
 
16180.9%
 
15412.1%
 
14954.8%
 
131296.5%
 
121869.3%
 
1121710.8%
 
1026213.1%
 
928814.4%
 
823411.7%
 

att16
Real number (ℝ≥0)

Distinct351
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean671.949
Minimum527
Maximum987
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T14:59:22.513861image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum527
5-th percentile568.95
Q1610
median652
Q3723
95-th percentile831
Maximum987
Range460
Interquartile range (IQR)113

Descriptive statistics

Standard deviation81.93596982
Coefficient of variation (CV)0.1219377807
Kurtosis0.1541791891
Mean671.949
Median Absolute Deviation (MAD)51
Skewness0.8356626585
Sum1343898
Variance6713.503151
MonotocityNot monotonic
2020-10-08T14:59:22.759086image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
637231.1%
 
629190.9%
 
648180.9%
 
601170.9%
 
593170.9%
 
624160.8%
 
626160.8%
 
652160.8%
 
625160.8%
 
651160.8%
 
604160.8%
 
610150.8%
 
641150.8%
 
616150.8%
 
594150.8%
 
642140.7%
 
619140.7%
 
663140.7%
 
605140.7%
 
617130.7%
 
614130.7%
 
631130.7%
 
606130.7%
 
602130.7%
 
598130.7%
 
Other values (326)161680.8%
 
ValueCountFrequency (%) 
52720.1%
 
53110.1%
 
53410.1%
 
53610.1%
 
53710.1%
 
53810.1%
 
53920.1%
 
54110.1%
 
54220.1%
 
54610.1%
 
ValueCountFrequency (%) 
98710.1%
 
95210.1%
 
95010.1%
 
94220.1%
 
93810.1%
 
93410.1%
 
93310.1%
 
92510.1%
 
92420.1%
 
91710.1%
 

att112
Real number (ℝ≥0)

Distinct297
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean803.899
Minimum574
Maximum1043
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T14:59:22.991827image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum574
5-th percentile680
Q1769.75
median818
Q3849
95-th percentile882
Maximum1043
Range469
Interquartile range (IQR)79.25

Descriptive statistics

Standard deviation62.61193917
Coefficient of variation (CV)0.07788533033
Kurtosis0.2684048724
Mean803.899
Median Absolute Deviation (MAD)36
Skewness-0.7575355209
Sum1607798
Variance3920.254926
MonotocityNot monotonic
2020-10-08T14:59:23.229608image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
858231.1%
 
844231.1%
 
850221.1%
 
847211.1%
 
816211.1%
 
832211.1%
 
837211.1%
 
845211.1%
 
833201.0%
 
862190.9%
 
846190.9%
 
810180.9%
 
825180.9%
 
818180.9%
 
840180.9%
 
801170.9%
 
811170.9%
 
813170.9%
 
819170.9%
 
863170.9%
 
856170.9%
 
864170.9%
 
852170.9%
 
855170.9%
 
843170.9%
 
Other values (272)152776.3%
 
ValueCountFrequency (%) 
57410.1%
 
59610.1%
 
60510.1%
 
60810.1%
 
61210.1%
 
61620.1%
 
62010.1%
 
62110.1%
 
62210.1%
 
62410.1%
 
ValueCountFrequency (%) 
104310.1%
 
97010.1%
 
95220.1%
 
94910.1%
 
94710.1%
 
94610.1%
 
93810.1%
 
93510.1%
 
92530.1%
 
92420.1%
 

att183
Real number (ℝ≥0)

Distinct540
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean855.6795
Minimum582
Maximum1334
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T14:59:23.452779image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum582
5-th percentile655.95
Q1741
median847
Q3957
95-th percentile1090.1
Maximum1334
Range752
Interquartile range (IQR)216

Descriptive statistics

Standard deviation138.4763902
Coefficient of variation (CV)0.1618320763
Kurtosis-0.5389741078
Mean855.6795
Median Absolute Deviation (MAD)108
Skewness0.3360271024
Sum1711359
Variance19175.71064
MonotocityNot monotonic
2020-10-08T14:59:23.679837image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
763110.5%
 
990100.5%
 
907100.5%
 
801100.5%
 
970100.5%
 
1006100.5%
 
70490.4%
 
96990.4%
 
75790.4%
 
80690.4%
 
92490.4%
 
98090.4%
 
69280.4%
 
91680.4%
 
72680.4%
 
69380.4%
 
73180.4%
 
75080.4%
 
76880.4%
 
75380.4%
 
76980.4%
 
82880.4%
 
66780.4%
 
87280.4%
 
66680.4%
 
Other values (515)178189.0%
 
ValueCountFrequency (%) 
58210.1%
 
58410.1%
 
58910.1%
 
59210.1%
 
59510.1%
 
59810.1%
 
59910.1%
 
60010.1%
 
60110.1%
 
60410.1%
 
ValueCountFrequency (%) 
133410.1%
 
129910.1%
 
128110.1%
 
127610.1%
 
126210.1%
 
125210.1%
 
124510.1%
 
124110.1%
 
123420.1%
 
123010.1%
 

att74
Real number (ℝ≥0)

Distinct361
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean327.2515
Minimum125
Maximum613
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T14:59:23.914871image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum125
5-th percentile211
Q1266
median317
Q3381
95-th percentile481
Maximum613
Range488
Interquartile range (IQR)115

Descriptive statistics

Standard deviation82.39424527
Coefficient of variation (CV)0.2517765244
Kurtosis-0.2837404978
Mean327.2515
Median Absolute Deviation (MAD)56
Skewness0.4751018599
Sum654503
Variance6788.811654
MonotocityNot monotonic
2020-10-08T14:59:24.324164image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
334170.9%
 
303160.8%
 
318150.8%
 
264140.7%
 
273140.7%
 
259140.7%
 
280140.7%
 
272140.7%
 
351140.7%
 
279140.7%
 
285140.7%
 
271140.7%
 
267140.7%
 
304130.7%
 
282130.7%
 
287130.7%
 
243130.7%
 
324130.7%
 
317130.7%
 
241130.7%
 
312120.6%
 
300120.6%
 
288120.6%
 
340120.6%
 
260120.6%
 
Other values (336)166183.0%
 
ValueCountFrequency (%) 
12510.1%
 
14210.1%
 
14320.1%
 
14710.1%
 
14810.1%
 
14920.1%
 
16010.1%
 
16110.1%
 
16210.1%
 
16310.1%
 
ValueCountFrequency (%) 
61310.1%
 
57710.1%
 
57110.1%
 
57010.1%
 
55910.1%
 
55310.1%
 
54610.1%
 
54510.1%
 
54210.1%
 
54130.1%
 

att206
Real number (ℝ≥0)

Distinct330
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean320.7825
Minimum145
Maximum565
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T14:59:24.546593image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum145
5-th percentile225
Q1270
median310
Q3366
95-th percentile447
Maximum565
Range420
Interquartile range (IQR)96

Descriptive statistics

Standard deviation69.48709536
Coefficient of variation (CV)0.2166174756
Kurtosis0.05301534958
Mean320.7825
Median Absolute Deviation (MAD)46
Skewness0.576572041
Sum641565
Variance4828.456422
MonotocityNot monotonic
2020-10-08T14:59:24.756154image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
296221.1%
 
287211.1%
 
277180.9%
 
252170.9%
 
320160.8%
 
283160.8%
 
313160.8%
 
330160.8%
 
280160.8%
 
298150.8%
 
309150.8%
 
288150.8%
 
273150.8%
 
345150.8%
 
246150.8%
 
295150.8%
 
348150.8%
 
307150.8%
 
372140.7%
 
268140.7%
 
274140.7%
 
310140.7%
 
272140.7%
 
286140.7%
 
247130.7%
 
Other values (305)161080.5%
 
ValueCountFrequency (%) 
14510.1%
 
15210.1%
 
17010.1%
 
17210.1%
 
17310.1%
 
17810.1%
 
17920.1%
 
18410.1%
 
18710.1%
 
18810.1%
 
ValueCountFrequency (%) 
56510.1%
 
55710.1%
 
55610.1%
 
55010.1%
 
54810.1%
 
54210.1%
 
53610.1%
 
52910.1%
 
52810.1%
 
51710.1%
 

att140
Real number (ℝ≥0)

Distinct35
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.856
Minimum2
Maximum36
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T14:59:24.971440image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q115
median19
Q326
95-th percentile32
Maximum36
Range34
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.324280616
Coefficient of variation (CV)0.368869894
Kurtosis-0.865243563
Mean19.856
Median Absolute Deviation (MAD)5
Skewness0.0906220682
Sum39712
Variance53.64508654
MonotocityNot monotonic
2020-10-08T14:59:25.179337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%) 
201226.1%
 
181216.0%
 
161145.7%
 
171015.1%
 
15984.9%
 
19924.6%
 
30904.5%
 
22904.5%
 
10773.9%
 
14743.7%
 
21733.6%
 
23703.5%
 
29703.5%
 
31663.3%
 
25653.2%
 
26623.1%
 
24613.0%
 
12592.9%
 
13582.9%
 
9582.9%
 
8572.9%
 
27542.7%
 
32542.7%
 
11472.4%
 
28412.1%
 
Other values (10)1266.3%
 
ValueCountFrequency (%) 
210.1%
 
350.2%
 
440.2%
 
530.1%
 
690.4%
 
7361.8%
 
8572.9%
 
9582.9%
 
10773.9%
 
11472.4%
 
ValueCountFrequency (%) 
3610.1%
 
3560.3%
 
34251.2%
 
33361.8%
 
32542.7%
 
31663.3%
 
30904.5%
 
29703.5%
 
28412.1%
 
27542.7%
 

att160
Real number (ℝ≥0)

Distinct403
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean674.847
Minimum470
Maximum1029
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T14:59:25.403065image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum470
5-th percentile554
Q1602
median652
Q3745.25
95-th percentile848
Maximum1029
Range559
Interquartile range (IQR)143.25

Descriptive statistics

Standard deviation94.42785554
Coefficient of variation (CV)0.1399248356
Kurtosis-0.1685876074
Mean674.847
Median Absolute Deviation (MAD)62
Skewness0.6674722837
Sum1349694
Variance8916.619901
MonotocityNot monotonic
2020-10-08T14:59:25.627208image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
601211.1%
 
612170.9%
 
611160.8%
 
616150.8%
 
622150.8%
 
656150.8%
 
619150.8%
 
630150.8%
 
618150.8%
 
621150.8%
 
591150.8%
 
571150.8%
 
604150.8%
 
617140.7%
 
598140.7%
 
625140.7%
 
641130.7%
 
587130.7%
 
593130.7%
 
602130.7%
 
608130.7%
 
592130.7%
 
584120.6%
 
605120.6%
 
599120.6%
 
Other values (378)164082.0%
 
ValueCountFrequency (%) 
47010.1%
 
47110.1%
 
47510.1%
 
48310.1%
 
49010.1%
 
49410.1%
 
49510.1%
 
49710.1%
 
49810.1%
 
50110.1%
 
ValueCountFrequency (%) 
102910.1%
 
101810.1%
 
99410.1%
 
98610.1%
 
98110.1%
 
97810.1%
 
97510.1%
 
96810.1%
 
95910.1%
 
95810.1%
 

att31
Real number (ℝ≥0)

Distinct41
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.905
Minimum0
Maximum40
Zeros9
Zeros (%)0.4%
Memory size15.8 KiB
2020-10-08T14:59:25.883443image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q116
median22
Q329
95-th percentile37
Maximum40
Range40
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.159307914
Coefficient of variation (CV)0.4181377728
Kurtosis-0.5328570547
Mean21.905
Median Absolute Deviation (MAD)6
Skewness-0.1615702775
Sum43810
Variance83.89292146
MonotocityNot monotonic
2020-10-08T14:59:26.096595image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%) 
161135.7%
 
15924.6%
 
19864.3%
 
22864.3%
 
24844.2%
 
23834.2%
 
17824.1%
 
20763.8%
 
18753.8%
 
25753.8%
 
21743.7%
 
14683.4%
 
28673.4%
 
34623.1%
 
30613.0%
 
26582.9%
 
27552.8%
 
29542.7%
 
33532.6%
 
32512.5%
 
31492.5%
 
36462.3%
 
37381.9%
 
35371.8%
 
38361.8%
 
Other values (16)33917.0%
 
ValueCountFrequency (%) 
090.4%
 
1180.9%
 
2170.9%
 
3190.9%
 
4201.0%
 
5221.1%
 
6301.5%
 
7271.4%
 
8221.1%
 
9130.7%
 
ValueCountFrequency (%) 
4070.4%
 
39261.3%
 
38361.8%
 
37381.9%
 
36462.3%
 
35371.8%
 
34623.1%
 
33532.6%
 
32512.5%
 
31492.5%
 

att191
Real number (ℝ≥0)

Distinct25
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.1325
Minimum0
Maximum24
Zeros8
Zeros (%)0.4%
Memory size15.8 KiB
2020-10-08T14:59:26.301546image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median11
Q315
95-th percentile20
Maximum24
Range24
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.388549154
Coefficient of variation (CV)0.4840376513
Kurtosis-0.8897569812
Mean11.1325
Median Absolute Deviation (MAD)4
Skewness-0.02277445918
Sum22265
Variance29.03646198
MonotocityNot monotonic
2020-10-08T14:59:26.485906image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
121397.0%
 
101346.7%
 
111296.5%
 
141296.5%
 
131276.3%
 
161165.8%
 
151105.5%
 
31085.4%
 
81025.1%
 
41015.1%
 
9995.0%
 
5964.8%
 
18914.5%
 
17894.5%
 
6804.0%
 
7763.8%
 
19723.6%
 
2572.9%
 
20452.2%
 
21331.7%
 
1281.4%
 
22201.0%
 
23100.5%
 
080.4%
 
2410.1%
 
ValueCountFrequency (%) 
080.4%
 
1281.4%
 
2572.9%
 
31085.4%
 
41015.1%
 
5964.8%
 
6804.0%
 
7763.8%
 
81025.1%
 
9995.0%
 
ValueCountFrequency (%) 
2410.1%
 
23100.5%
 
22201.0%
 
21331.7%
 
20452.2%
 
19723.6%
 
18914.5%
 
17894.5%
 
161165.8%
 
151105.5%
 

att10
Real number (ℝ≥0)

Distinct18
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.054
Minimum0
Maximum17
Zeros6
Zeros (%)0.3%
Memory size15.8 KiB
2020-10-08T14:59:26.666719image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median10
Q312
95-th percentile15
Maximum17
Range17
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.084412468
Coefficient of variation (CV)0.4511169062
Kurtosis-0.9843901956
Mean9.054
Median Absolute Deviation (MAD)3
Skewness-0.1765742586
Sum18108
Variance16.68242521
MonotocityNot monotonic
2020-10-08T14:59:26.830239image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%) 
1124712.3%
 
1022911.5%
 
121778.8%
 
41527.6%
 
31346.7%
 
51336.7%
 
91336.7%
 
131246.2%
 
141165.8%
 
61015.1%
 
7995.0%
 
15904.5%
 
16733.6%
 
8733.6%
 
2673.4%
 
1281.4%
 
17180.9%
 
060.3%
 
ValueCountFrequency (%) 
060.3%
 
1281.4%
 
2673.4%
 
31346.7%
 
41527.6%
 
51336.7%
 
61015.1%
 
7995.0%
 
8733.6%
 
91336.7%
 
ValueCountFrequency (%) 
17180.9%
 
16733.6%
 
15904.5%
 
141165.8%
 
131246.2%
 
121778.8%
 
1124712.3%
 
1022911.5%
 
91336.7%
 
8733.6%
 

att68
Real number (ℝ≥0)

Distinct38
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.771
Minimum3
Maximum40
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T14:59:27.023891image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile8
Q115
median20
Q325
95-th percentile30
Maximum40
Range37
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.834611544
Coefficient of variation (CV)0.345688713
Kurtosis-0.4940467591
Mean19.771
Median Absolute Deviation (MAD)5
Skewness-0.03066685368
Sum39542
Variance46.71191496
MonotocityNot monotonic
2020-10-08T14:59:27.223624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%) 
191175.9%
 
141125.6%
 
181105.5%
 
241095.5%
 
201065.3%
 
271045.2%
 
261035.1%
 
131005.0%
 
16954.8%
 
21944.7%
 
22894.5%
 
25824.1%
 
17824.1%
 
15804.0%
 
28794.0%
 
23743.7%
 
12693.5%
 
29422.1%
 
30391.9%
 
11391.9%
 
10351.8%
 
8331.7%
 
6311.6%
 
31251.2%
 
7241.2%
 
Other values (13)1276.3%
 
ValueCountFrequency (%) 
340.2%
 
490.4%
 
5170.9%
 
6311.6%
 
7241.2%
 
8331.7%
 
9231.1%
 
10351.8%
 
11391.9%
 
12693.5%
 
ValueCountFrequency (%) 
4010.1%
 
3910.1%
 
3810.1%
 
3720.1%
 
3690.4%
 
35140.7%
 
34100.5%
 
33140.7%
 
32221.1%
 
31251.2%
 

att177
Real number (ℝ≥0)

ZEROS

Distinct45
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.897
Minimum0
Maximum44
Zeros24
Zeros (%)1.2%
Memory size15.8 KiB
2020-10-08T14:59:27.646550image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median16
Q325
95-th percentile39
Maximum44
Range44
Interquartile range (IQR)16

Descriptive statistics

Standard deviation11.58958801
Coefficient of variation (CV)0.6475715489
Kurtosis-0.770769682
Mean17.897
Median Absolute Deviation (MAD)8
Skewness0.477965612
Sum35794
Variance134.3185503
MonotocityNot monotonic
2020-10-08T14:59:27.847453image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%) 
18914.5%
 
20804.0%
 
16773.9%
 
19733.6%
 
14703.5%
 
9703.5%
 
11693.5%
 
6683.4%
 
1653.2%
 
8643.2%
 
15633.1%
 
7613.0%
 
10613.0%
 
13603.0%
 
4562.8%
 
22562.8%
 
2542.7%
 
21532.6%
 
5522.6%
 
12522.6%
 
17502.5%
 
3502.5%
 
37432.1%
 
23371.8%
 
39361.8%
 
Other values (20)48924.4%
 
ValueCountFrequency (%) 
0241.2%
 
1653.2%
 
2542.7%
 
3502.5%
 
4562.8%
 
5522.6%
 
6683.4%
 
7613.0%
 
8643.2%
 
9703.5%
 
ValueCountFrequency (%) 
4430.1%
 
43110.5%
 
42170.9%
 
41301.5%
 
40341.7%
 
39361.8%
 
38331.7%
 
37432.1%
 
36301.5%
 
35341.7%
 

att173
Real number (ℝ≥0)

Distinct454
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean941.9585
Minimum479
Maximum1179
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T14:59:28.065613image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum479
5-th percentile702
Q1892
median969
Q31019
95-th percentile1069
Maximum1179
Range700
Interquartile range (IQR)127

Descriptive statistics

Standard deviation109.9028621
Coefficient of variation (CV)0.1166748451
Kurtosis0.7265534587
Mean941.9585
Median Absolute Deviation (MAD)58
Skewness-1.073823789
Sum1883917
Variance12078.6391
MonotocityNot monotonic
2020-10-08T14:59:28.307174image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1010201.0%
 
966180.9%
 
1029170.9%
 
961160.8%
 
1026160.8%
 
1017160.8%
 
964150.8%
 
1011150.8%
 
990150.8%
 
998140.7%
 
1043140.7%
 
1048130.7%
 
1006130.7%
 
1016130.7%
 
938120.6%
 
968120.6%
 
1054120.6%
 
1012120.6%
 
1042120.6%
 
947120.6%
 
996120.6%
 
957120.6%
 
1014120.6%
 
959120.6%
 
1003120.6%
 
Other values (429)165382.7%
 
ValueCountFrequency (%) 
47910.1%
 
56610.1%
 
57610.1%
 
57810.1%
 
58010.1%
 
58110.1%
 
58710.1%
 
59210.1%
 
59310.1%
 
60710.1%
 
ValueCountFrequency (%) 
117910.1%
 
117810.1%
 
117210.1%
 
115110.1%
 
114510.1%
 
114110.1%
 
114010.1%
 
113610.1%
 
113410.1%
 
113020.1%
 

att19
Real number (ℝ≥0)

Distinct42
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.862
Minimum0
Maximum41
Zeros20
Zeros (%)1.0%
Memory size15.8 KiB
2020-10-08T14:59:28.554512image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median18
Q326
95-th percentile33
Maximum41
Range41
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.15522133
Coefficient of variation (CV)0.5685377522
Kurtosis-1.025614597
Mean17.862
Median Absolute Deviation (MAD)8
Skewness0.008719796666
Sum35724
Variance103.1285203
MonotocityNot monotonic
2020-10-08T14:59:28.764708image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%) 
19974.9%
 
31814.0%
 
23814.0%
 
20783.9%
 
3753.8%
 
17713.5%
 
7683.4%
 
16683.4%
 
15663.3%
 
22633.1%
 
21633.1%
 
18623.1%
 
32613.0%
 
5603.0%
 
1582.9%
 
6572.9%
 
8562.8%
 
14522.6%
 
2512.5%
 
33512.5%
 
25512.5%
 
24512.5%
 
12512.5%
 
4502.5%
 
30492.5%
 
Other values (17)42921.4%
 
ValueCountFrequency (%) 
0201.0%
 
1582.9%
 
2512.5%
 
3753.8%
 
4502.5%
 
5603.0%
 
6572.9%
 
7683.4%
 
8562.8%
 
9391.9%
 
ValueCountFrequency (%) 
4120.1%
 
4020.1%
 
39100.5%
 
38120.6%
 
3790.4%
 
36150.8%
 
35150.8%
 
34301.5%
 
33512.5%
 
32613.0%
 

att155
Real number (ℝ≥0)

Distinct18
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3545
Minimum0
Maximum17
Zeros6
Zeros (%)0.3%
Memory size15.8 KiB
2020-10-08T14:59:28.950954image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median10
Q312
95-th percentile15
Maximum17
Range17
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.706440152
Coefficient of variation (CV)0.3962200173
Kurtosis-0.6245856902
Mean9.3545
Median Absolute Deviation (MAD)2
Skewness-0.379783193
Sum18709
Variance13.7376986
MonotocityNot monotonic
2020-10-08T14:59:29.113362image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%) 
1125212.6%
 
1023611.8%
 
91909.5%
 
121859.2%
 
131557.8%
 
81467.3%
 
141417.0%
 
51155.8%
 
71135.7%
 
41075.3%
 
3904.5%
 
15773.9%
 
6613.0%
 
2532.6%
 
16422.1%
 
1251.2%
 
060.3%
 
1760.3%
 
ValueCountFrequency (%) 
060.3%
 
1251.2%
 
2532.6%
 
3904.5%
 
41075.3%
 
51155.8%
 
6613.0%
 
71135.7%
 
81467.3%
 
91909.5%
 
ValueCountFrequency (%) 
1760.3%
 
16422.1%
 
15773.9%
 
141417.0%
 
131557.8%
 
121859.2%
 
1125212.6%
 
1023611.8%
 
91909.5%
 
81467.3%
 

target
Real number (ℝ≥0)

ZEROS

Distinct10
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5
Minimum0
Maximum9
Zeros200
Zeros (%)10.0%
Memory size15.8 KiB
2020-10-08T14:59:29.285568image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4.5
Q37
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.872999663
Coefficient of variation (CV)0.6384443696
Kurtosis-1.224302538
Mean4.5
Median Absolute Deviation (MAD)2.5
Skewness0
Sum9000
Variance8.254127064
MonotocityIncreasing
2020-10-08T14:59:29.431933image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
920010.0%
 
820010.0%
 
720010.0%
 
620010.0%
 
520010.0%
 
420010.0%
 
320010.0%
 
220010.0%
 
120010.0%
 
020010.0%
 
ValueCountFrequency (%) 
020010.0%
 
120010.0%
 
220010.0%
 
320010.0%
 
420010.0%
 
520010.0%
 
620010.0%
 
720010.0%
 
820010.0%
 
920010.0%
 
ValueCountFrequency (%) 
920010.0%
 
820010.0%
 
720010.0%
 
620010.0%
 
520010.0%
 
420010.0%
 
320010.0%
 
220010.0%
 
120010.0%
 
020010.0%
 

Interactions

2020-10-08T14:58:02.183258image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:02.403559image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:02.595893image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:02.809539image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:02.997954image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:03.176449image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:03.373750image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:03.579449image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:03.755422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:03.924900image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:04.108299image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:04.289256image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:04.478607image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:04.654544image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:04.845685image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:05.031665image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:05.204692image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:05.395309image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:05.566929image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:05.757252image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:05.933657image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:06.127723image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:06.337005image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:06.535227image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:06.736726image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:06.924853image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:07.285721image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:07.486746image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:07.672463image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:07.856300image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:08.049121image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:08.240921image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:08.449149image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:08.644212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:08.885297image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:09.109725image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:09.296130image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:09.496030image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:09.686378image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:09.890824image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:10.075215image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:10.268272image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:10.476526image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:10.675134image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:10.874285image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:11.080008image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-10-08T14:58:51.046144image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:51.228332image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:51.415820image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:51.599169image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:51.778734image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:52.141330image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:52.313347image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:52.505488image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:52.690961image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:52.883576image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:53.090679image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:53.290509image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:53.489147image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:53.675245image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:53.857745image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:54.059522image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:54.254303image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:54.435238image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:54.628560image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:54.823270image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:55.027099image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:55.219562image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:55.421053image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:55.622002image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:55.811685image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:56.013647image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:56.200277image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:56.403614image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:56.591705image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:56.784367image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:56.982164image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:57.181742image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:57.389127image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:57.741337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:57.933527image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:58.140156image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:58.328932image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:58.510305image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:58.706446image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:58.900500image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:59.102264image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:59.293298image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:59.493205image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:59.695148image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:58:59.887597image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:00.087685image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:00.275311image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:00.476779image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:00.661891image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:00.833401image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:01.011567image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:01.195549image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:01.374433image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:01.543245image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:01.708996image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:01.889934image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:02.056652image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:02.218144image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:02.398497image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:02.572201image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:02.755416image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:02.930101image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:03.279853image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:03.462889image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:03.630830image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:03.811087image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:03.979129image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:04.159131image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:04.328344image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:04.527506image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:04.727564image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:04.927821image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:05.132178image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:05.318907image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:05.507155image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:05.709598image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:05.901528image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:06.084299image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:06.285022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:06.483242image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:06.687572image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:06.883714image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:07.086171image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:07.285553image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:07.473516image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:07.678639image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:07.864285image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:08.065345image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:08.255077image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:08.423842image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:08.603303image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:08.949674image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:09.133679image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:09.301929image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:09.469475image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:09.655337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:09.819237image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:09.979245image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:10.151943image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:10.324346image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:10.511117image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:10.683278image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:10.869079image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:11.048153image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:11.211481image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:11.390097image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:11.551899image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:11.732890image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:11.898943image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:12.088300image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:12.308723image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:12.526829image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:12.733569image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:12.930336image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:13.118244image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:13.316971image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:13.502807image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:13.686567image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:13.881326image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:14.077952image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:14.451791image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:14.645853image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:14.846977image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:15.050235image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:15.242358image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:15.447619image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:15.642030image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:15.877897image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:16.077965image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:16.251338image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:16.434853image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:16.619325image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:16.799553image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:16.974132image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:17.152950image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:17.347454image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:17.520511image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:17.691675image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:17.882167image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:18.069997image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:18.255532image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:18.426738image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:18.611117image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:18.797428image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:18.963957image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:19.147403image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:19.312701image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:19.502311image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Correlations

2020-10-08T14:59:29.628424image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-10-08T14:59:30.057556image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-10-08T14:59:30.474390image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-10-08T14:59:30.912698image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-10-08T14:59:20.053067image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:20.705849image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Sample

First rows

att202att214att139att178att16att112att183att74att206att140att160att31att191att10att68att177att173att19att155target
010.015.011.012.0624.0886.0607.0518.0421.08.0644.038.09.06.028.012.0961.07.010.00
110.013.016.08.0548.0796.0687.0427.0354.010.0614.029.010.04.030.019.0979.02.05.00
213.014.017.09.0560.0790.0672.0377.0348.09.0542.024.010.03.027.010.0943.07.07.00
311.012.09.07.0629.0879.0711.0390.0419.09.0651.036.012.05.027.015.0959.05.05.00
48.015.017.08.0613.0871.0763.0365.0342.09.0651.028.010.04.027.014.0955.05.07.00
59.010.025.07.0591.0829.0885.0332.0257.019.0709.020.011.09.025.025.01015.015.04.00
67.014.011.013.0606.0842.0661.0489.0408.07.0584.038.011.07.027.018.0983.07.06.00
711.016.010.011.0620.0884.0667.0385.0296.010.0642.035.08.05.028.016.0986.04.011.00
87.014.012.013.0577.0831.0643.0532.0429.08.0573.039.08.07.028.021.01003.08.09.00
910.013.010.010.0573.0787.0665.0415.0428.07.0559.035.08.04.029.012.0963.04.05.00

Last rows

att202att214att139att178att16att112att183att74att206att140att160att31att191att10att68att177att173att19att155target
199016.013.018.08.0564.0810.0949.0355.0368.016.0612.019.04.04.018.022.0973.022.011.09
199110.015.01.010.0813.0899.0720.0305.0312.028.0923.028.016.04.026.030.01028.013.011.09
199213.012.016.011.0658.0924.0931.0310.0229.017.0710.017.04.07.019.020.0953.020.09.09
19939.014.011.013.0606.0846.0869.0343.0318.016.0618.020.018.07.020.015.0994.019.09.09
199421.010.017.013.0580.0850.01069.0435.0430.015.0600.024.03.09.019.019.01019.021.010.09
199513.014.016.013.0617.0877.0991.0386.0293.016.0611.015.011.07.018.013.0950.020.08.09
199621.010.019.013.0620.0848.0997.0296.0287.013.0724.024.01.09.021.023.0997.025.012.09
19978.015.013.014.0649.0881.0924.0315.0348.017.0709.014.018.010.021.023.0977.017.09.09
199812.013.015.010.0604.0844.0938.0395.0332.016.0634.012.020.04.020.015.0963.019.07.09
199911.012.018.09.0717.0853.0951.0259.0296.023.0799.021.03.05.029.033.01026.022.010.09

Duplicate rows

Most frequent

att202att214att139att178att16att112att183att74att206att140att160att31att191att10att68att177att173att19att155targetcount
02.09.026.010.0642.0760.0834.0241.0198.016.0628.019.020.012.014.06.0831.012.07.062
13.012.027.09.0801.0753.0877.0241.0320.015.0733.018.015.013.013.011.0790.015.010.062
211.08.018.09.0616.0820.0925.0313.0310.08.0626.027.03.015.014.012.01055.026.010.032
311.012.018.09.0717.0853.0951.0259.0296.023.0799.021.03.05.029.033.01026.022.010.092
416.011.02.08.0591.0739.0765.0357.0320.03.0521.029.012.010.023.06.01068.016.01.052
517.010.025.011.0832.0810.0941.0190.0277.030.0886.026.09.011.014.042.01079.039.010.072